The automated analysis of computed tomography (CT) scans of vertebrae, for the purpose of
determining an individual's age and sex constitutes a vital area of research. Accurate …

Purpose To develop a fully automated deep learning pipeline using digital radiographs to
detect the proximal femur region for accurate automated sex estimation. Method Radiograph …

Purpose To externally test four chest radiograph classifiers on a large, diverse, real-world
dataset with robust subgroup analysis. Materials and Methods In this retrospective study …

Forensic odontology, recognized as a fundamental and reliable technique in human
identification, frequently employs orthopantomograph images in dental biometry. Despite the …

Estimating an individual's age from a photograph of their face is critical in many applications,
including intelligence and defense, border security and human-machine interaction, as well …

We developed a new model for predicting bone mineral density on chest radiographs and
externally validated it using images captured at facilities other than the development …

Background The performance of a deep learning (DL) algorithm should be validated in
actual clinical situations, before its clinical implementation. Purpose To evaluate the …

Chest Disease creates serious health issues for human beings all over the world. Identifying
these diseases in earlier stages helps people to treat them early and save their life …

Objective The biological age progression of the heart varies from person to person. We
developed a deep learning model (DLM) to predict the biological age via ECG to explore its …

Bone age assessments are methods that doctors use in pediatric medicine. They are used to
assess the growth of children by analyzing X-ray images. This work focuses on the …